Multivariate Stochastic Volatility
Michael McAleer and
Jun Yu ()
Microeconomics Working Papers from East Asian Bureau of Economic Research
The literature on multivariate stochastic volatility (MSV) models has developed significantly over the last few years. This paper reviews the substantial literature on specification, estimation and evaluation of MSV models. A wide range of MSV models is presented according to various categories, namely (i) asymmetric models; (ii) factor models; (iii) time-varying correlation models; and (iv) alternative MSV specifications, including models based on the matrix exponential transformation, Cholesky decomposition, Wishart autoregressive process, and the empirical range. Alternative methods of estimation, including quasi-maximum likelihood, simulated maximum likelihood, Monte Carlo likelihood, and Markov chain Monte Carlo methods, are discussed and compared. Various methods of diagnostic checking and model comparison are also examined.
Keywords: multivariate stochastic volatility; asymmetry; Leverage; thresholds; factor models; time-varying correlations; transformations; estimation; diagnostic checking; model comparison (search for similar items in EconPapers)
JEL-codes: C02 C73 (search for similar items in EconPapers)
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Working Paper: Multivariate stochastic volatility (2007)
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Persistent link: https://EconPapers.repec.org/RePEc:eab:microe:22058
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